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Avis et commentaires pour d'étudiants pour Mastering Data Analysis in Excel par Université Duke

3,517 évaluations
828 avis

À propos du cours

Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel....

Meilleurs avis


Oct 31, 2015

The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.


Oct 14, 2020

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

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526 - 550 sur 808 Avis pour Mastering Data Analysis in Excel


Jan 21, 2018

purely fundamental mathematics

par Shubham

Sep 11, 2018

Wonderful learning experience

par Harold

Sep 29, 2016

Too difficult for a beginner

par Julien H J

Feb 24, 2016

Not exactly for business use

par Ravi D

Jan 30, 2016

Learning some great things!

par Jude O

Sep 25, 2018

Very challenging to grasp

par Jyoti K

Oct 08, 2020

Very good course format.

par Eve D

May 20, 2020

Very interesting course

par raghav

Dec 30, 2015

its very helpful course

par Phan N H

Apr 19, 2020

few clear explanations

par Vardges Z

Dec 15, 2018

A lot of useful theory

par Divya M

May 13, 2020

Excellent course!

par Pranshu J

Nov 29, 2015

Extremely helpful

par Raja K P

Oct 06, 2016

Excellent Course

par Deepak S

Jul 12, 2017

Good course!

par Tan Y Y

Feb 03, 2019

Very useful

par Chuang M

Feb 07, 2016

Good course

par Angel S

Feb 05, 2016

Very useful

par Felipe P

Dec 15, 2015


par Jay K P

Dec 03, 2015


par Zewei R

Aug 07, 2019

too hard

par Foo J W

Jun 17, 2020


par Karan S C

Jan 04, 2016

Love it

par Zhengfeng Y

May 25, 2016


par GOH L H

May 29, 2020

In general, the course is fairly rewarding for someone like me who is coming from Engineering, and doesn't major in Business / Analytics.

What I liked: Assessments (Practice Quiz, Quizzes, Final Project) are very much rewarding in a sense that by the end of the assessments, you gain a better understanding on how the topics and concepts taught in the lectures could be applied in a practical sense in the world.

What I disliked:

1. The title of the course is pretty misleading. I signed up hoping to learn more about the technical side of Excel, the analysis parts, but here it seems that the emphasis are more on the relatively abstract analytical concepts, while Excel is merely a tool in the big picture.

2. It gets very frustrating and demotivating when the topics taught are not well-structured. There should be a video in the beginning to show the big picture, and a video at the end to sum up the main concepts and how they relate to each other.